Donald S. Young

855 citations
49 papers · 619 indexed · h-index 13

Donald S. Young

44 papers receiving 556 citations

Peers

Donald S. Young
Comparison fields: 5 of 127
  • Family Practice 20
  • Statistics, Probability and Uncertainty 61
  • Medical Laboratory Technology 13
  • Medical Terminology 2
  • Physiology 142
Replace Annalise E. Zemlin with:
Annalise E. Zemlin South Africa
Shahram Shahangian United States
Rodney W Forsman United States
David L. Witte United States
George S. Cembrowski Canada
I. D. P. Wootton United Kingdom
Patricia L. Barry United States
Amit Pahwa United States
Bhawna Singh India
Mario Werner United States
Donald S. Young relative to Annalise E. Zemlin South Africa Annalise E. Zemlin's profile →
Citations per field
00.5×1.5×
Annalise E. Zemlin · 1×
Citations per year

Countries citing papers authored by Donald S. Young

Since Specialization
Citations

This map shows the geographic impact of Donald S. Young's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Donald S. Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald S. Young more than expected).

Fields of papers citing papers by Donald S. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donald S. Young. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Donald S. Young. The network helps show where Donald S. Young may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Donald S. Young, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Donald S. Young Line = papers co-authored together Donald S. Young links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201254
2 200924
3 200330
4 200131
5 19993
6
Evolution of the William Pepper Laboratory.
19975
7 19975
8 199521
9 19932
10 19901
11 199014
12 19891
13 19884
14 19883
15 19820
16 197815
17 19732
18 19731
19 19712
20 19688

About Donald S. Young

Donald S. Young is a scholar working on Physiology, Statistics, Probability and Uncertainty and Biochemistry, having authored 49 papers that have together received 619 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (16 papers), Healthcare Policy and Management (5 papers), Meta-analysis and systematic reviews (4 papers), Health and Medical Research Impacts (3 papers), Health Sciences Research and Education (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Global Health Care Issues (2 papers). The work is most often cited by research in Family Practice (20 citations), Statistics, Probability and Uncertainty (61 citations) and Medical Laboratory Technology (13 citations). Donald S. Young has collaborated with scholars based in United States, Belgium and Denmark. Frequent co-authors include John I. Peterson, Bruce S. Sachais, Leigh C. Jefferies, Jorge L. Sepulveda, Erik Magid, David E. Bruns, Edward J. Huth, Russell P. Tracy, Robert A. Kyle and Donald T. Forman. Their work appears in journals such as JAMA, Annals of Internal Medicine and Analytical Chemistry.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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